Amazon Technologies, Inc.

Shaokang Ni

Malcolm Featonby

Letian Feng

Siyu Wang

Zachary Daniel Casper

Nathaniel Baird Jones

Systems and methods for implementing a right-sizing service that recommends and automatically implements resource sizing recommendations for compute clusters executing applications is disclosed. Performance metrics for compute nodes executing the application may be gathered and normalized, with anomalous nodes excluded. Then, respective time series data for the compute nodes may be temporally aligned to identify phases of execution of the application and resource sizes may be estimated for the various phases. A resource sizing recommendation may then be made based in part on this estimated resource sizes. The sizing recommendation may further integrate with other sizing recommendations and be used to manually or automatically size a compute cluster or selected among a number of pre-sized compute clusters, in various embodiments.

Resource right-sizing for compute clusters

Systems and methods for implementing a right-sizing service that recommends and automatically implements sizing recommendations for nodes and resources of compute clusters executing applications is disclosed. Performance metrics for compute nodes executing the application may be gathered and normalized with anomalous nodes excluded. Then, respective time series data for the compute nodes may be temporally aligned to identify phases of execution of the application and resource sizes may be estimated for the various phases. A sizing recommendation may then be made based in part on this estimated resource sizes. The sizing recommendation may further integrate with other sizing recommendations and be used to manually or automatically size a compute cluster or selected among a number of pre-sized compute clusters, in various embodiments.

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Seattle, WA, United States of America

Shaokang Ni